Q43, run 2026-11-04-2013-sonnet

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How many distinct entities are domiciled in Luxembourg (LU)?

Tests: Local rule: the RESEARCH record's country holds over the RATINGS record's, so Halden Bank is in LU.

Expected: count = 1

❌ R1 csv run 1 graded by code

0. The only LU record is E17, a duplicate of E10, which is domiciled in DE. If E17's country were trusted, the answer would be 1.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 2 graded by code

0. The only LU record is E17, a duplicate of E10, whose primary record says DE. This is a judgement call on conflicting data.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 3 graded by code

0. The only LU record is E17, a duplicate of E10, which is DE in the RATINGS record. This depends on the same choice as Q42.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 4 graded by code

0. The only LU record is E17, a duplicate of E10, whose primary record is in DE. If E17 were taken at face value the count would be 1.

JSON: {"count": 0}

Why: count: expected 1, got 0

❌ R1 csv run 5 graded by code

0. The only LU record is E17, a duplicate of E10, which is domiciled in DE.

JSON: {"count": 0}

Why: count: expected 1, got 0

✅ R5 csv+ontology run 1 graded by code

1. E10 and E17 are the same entity.

JSON: {"count": 1}

✅ R5 csv+ontology run 2 graded by code

1, which is Halden Bank (E10/E17).

JSON: {"count": 1}

✅ R5 csv+ontology run 3 graded by code

1 (E10 / E17).

JSON: {"count": 1}

✅ R5 csv+ontology run 4 graded by code

1, Halden Bank (E10/E17).

JSON: {"count": 1}

✅ R5 csv+ontology run 5 graded by code

1, which is E10 (E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 1 graded by code

1. E10 and E17 are the same entity.

JSON: {"count": 1}

✅ R4 csv+markdown run 2 graded by code

1: E10 (same entity as E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 3 graded by code

1, the Halden Bank entity (E10/E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 4 graded by code

1. The only entity domiciled in LU is the Halden Bank entity (E10/E17).

JSON: {"count": 1}

✅ R4 csv+markdown run 5 graded by code

1 (E10, which is also E17).

JSON: {"count": 1}

✅ R8 csv+axioms run 1 graded by code

1. E10 and E17 are the same entity.

JSON: {"count": 1}

✅ R8 csv+axioms run 2 graded by code

1. E10/E17 is the only entity domiciled in LU.

JSON: {"count": 1}

✅ R8 csv+axioms run 3 graded by code

1. E10 and E17 are one entity.

JSON: {"count": 1}

✅ R8 csv+axioms run 4 graded by code

1, which is E10 (=E17).

JSON: {"count": 1}

✅ R8 csv+axioms run 5 graded by code

1. E10 and E17 are the same entity.

JSON: {"count": 1}